Tongyang Li
15 papers · 2019–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (23) π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Keyword Champion
(10)
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Trend Setter
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Renaissance Researcher
(6)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(63)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Mathematics & Optimization
(10)
Optimization
(10)
Optimization & Theory
(10)
Interdisciplinary
(4)
Science
(4)
Core Methods
(2)
Learning Types
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Keywords
quantum algorithm
(10)
query complexity
(5)
sublinear algorithm
(3)
lower bound
(3)
non-convex optimization
(2)
convex optimization
(2)
regret minimization
(2)
quantum computing
(2)
regret bound
(2)
second-order stationary point
(2)
multi-armed bandit
(2)
gradient estimation
(1)
continuous optimization
(1)
minimax optimization
(1)
stochastic gradient descent
(1)
adversarial training
(1)
linear function approximation
(1)
quantum machine learning
(1)
online learning
(1)
logarithmic regret
(1)
Papers
Robustness of Quantum Algorithms for Nonconvex Optimization
ICLR 2025
Near-Optimal Quantum Algorithm for Minimizing the Maximal Loss
ICLR 2024
Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret
ICML 2024
Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
ICML 2024
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games
NeurIPS 2023
Near-Optimal Quantum Coreset Construction Algorithms for Clustering
ICML 2023
Quantum Lower Bounds for Finding Stationary Points of Nonconvex Functions
ICML 2023
Quantum Multi-Armed Bandits and Stochastic Linear Bandits Enjoy Logarithmic Regrets
AAAI 2023
Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants
NeurIPS 2022
Quantum Speedups of Optimizing Approximately Convex Functions with Applications to Logarithmic Regret Stochastic Convex Bandits
NeurIPS 2022
Escape saddle points by a simple gradient-descent based algorithm
NeurIPS 2021
Quantum Exploration Algorithms for Multi-Armed Bandits
AAAI 2021
Sublinear Classical and Quantum Algorithms for General Matrix Games
AAAI 2021
Quantum Wasserstein Generative Adversarial Networks
NeurIPS 2019
Sublinear quantum algorithms for training linear and kernel-based classifiers
ICML 2019